Position Details
About this role
This role involves architecting and deploying AI and ML workloads, especially large language models, on cloud platforms. The candidate will serve as a technical expert, guiding customers and internal teams in AI solutions.
Key Responsibilities
- Architect ML & AI workloads
- Guide customers in GenAI solutions
- Build and optimize ML pipelines
- Implement MLOps best practices
- Collaborate with product teams
Technical Overview
Technical scope includes building ML pipelines, implementing MLOps practices, fine-tuning LLMs, and deploying models using cloud services and frameworks like HuggingFace, Langchain, and OpenAI.
Ideal Candidate
The ideal candidate is a mid-level AI/ML engineer with 5+ years of experience in deploying and managing large language models and AI workloads in cloud environments. They possess strong communication skills and experience with MLOps tools and frameworks.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 5 years ML experience, Lack of cloud infrastructure experience, No experience with LLMs or MLOps, Inability to communicate technical concepts
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